Chip Power Estimation Engineer
NVIDIA · Posted Sep 29
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA is seeking a creative and highly motivated engineer to work on architectural power estimation for the world's leading GPUs and SOCs, spanning product lines from consumer graphics to self-driving cars and artificial intelligence. The role develops advanced power models and estimation infrastructure to estimate chip and board power under product-driven use cases, including idle and IO power. The engineer will work with architecture, design, synthesis, timing, circuit, and post-silicon teams to correlate models with measured silicon data and optimize power/performance for upcoming chips.
What you will do
- Architecture, development and correlation of power estimation models/tools for NVIDIA's chips
- Help architect and develop power models for use-cases, Idle power and IO power.
- Chip in to design the tools based on these models and their testing methodology/infrastructures
- Correlate and Calibrate the power models using measured silicon data
- Analyze and help decide the chip configuration and process technology options to optimize power/performance for NVIDIA's upcoming chips
- Help study and contribute to Performance/Watt improvement ideas for NVIDIA's GPUs and SOCs
Skills used in this role
What the employer is looking for
- B.Tech./M.Tech and 1+ years of experience related to Power / Performance estimation and optimization techniques
- Strong fundamentals in power including transistor-level leakage/dynamic characteristics of VLSI circuits
- Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS)
- Strong background in power estimation techniques, flows and algorithms
- Good programming skills - Python preferred. Good skills with object-oriented programming and design.
Preferred qualifications
- Exposure to lab setup including power measurement equipment such as scope/DAQ with ability to analyze board level power issues is a plus
- Exposure to power analysis EDA tools such as PTPX/EPS
- Good communication skills & desire to work as a great teammate
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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